Optical character recognition systems

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Abstract

Optical character recognition (OCR) is process of classification of optical patterns contained in a digital image. The character recognition is achieved through segmentation, feature extraction and classification. This chapter presents the basic ideas of OCR needed for a better understanding of the book. The chapter starts with a brief background and history of OCR systems. Then the different techniques of OCR systems such as optical scanning, location segmentation, pre-processing, segmentation, representation, feature extraction, training and recognition and post-processing. The different applications of OCR systems are highlighted next followed by the current status of the OCR systems. Finally, the future of the OCR systems is presented.

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Chaudhuri, A., Mandaviya, K., Badelia, P., & Ghosh, S. K. (2017). Optical character recognition systems. In Studies in Fuzziness and Soft Computing (Vol. 352, pp. 9–41). Springer Verlag. https://doi.org/10.1007/978-3-319-50252-6_2

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